Key skills
Google Cloud PlatformDatabase administrationRelational databasesMLOpsData warehousingData pipeline developmentETLELTApplication developmentPerformance tuningSoftware developmentTechnical leadershipCollaborationPythonJavaGolangSQLMachine LearningData WarehousingGCPGoogle CloudCloud FunctionsPostgreSQLMySQLOracleSQL ServerLeadership
About this role
Net2Source (N2S) is seeking a Data Engineer to lead the Google data team supporting the NOTAM data platform. The role involves collaborating with data producers and consumers to provide data solutions, overseeing database administration best practices, and optimizing database environments on Google Cloud Platform.
Responsibilities:
- Function as the lead Google data team point of contact to support NOTAM data platform
- Be highly collaborative and work closely with data producers and data consumers, to understand the data needs, provide consultation, and align data solutions
- Lead database administration best practices including backup and recovery, performance tuning, scaling, data archival, database design and provide implementation support
- Create and deliver best practices, recommendations, sample code, and technical presentations, adapting to different levels of key business and technical stakeholders
- Analyse on-premises and cloud database environments , consulting on the optimal design for performance and deployment on Google Cloud Platform . Support the design, development, and maintenance of RDBMS, data warehouse, and data pipeline solutions
Requirements:
- US Citizen
- Bachelor's degree in Computer Science or equivalent practical experience
- 5 years of experience with relational database technologies such as PostgreSQL, MySQL, SQL Server, or Oracle
- Experience working with business stakeholders to understand requirements, provide technical leadership, and educate teams on GCP best practices
- Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning and database performance tuning
- Experience working with cloud databases such as AlloyDB, CloudSQL, Big Query
- Experience with MLOps, data warehousing, and data pipeline development, including ETL and ELT, dataflow, cloud functions
- Experience with application development
- Experience in database administration techniques including storage, clustering, availability, disaster recovery, security, logging, performance tuning, monitoring and auditing
- Experience developing, deploying, and managing machine learning models, including experience writing software in one or more languages, such as Java, Python, Golang